Topic Modeling on Triage Notes With Semiorthogonal Nonnegative Matrix Factorization
利用半正交非负矩阵分解对分诊记录进行主题建模
Emergency department (ED) crowding is a universal health issue that affects the efficiency of hospital management and patient care quality. ED crowding frequently occurs when a request for a ward-bed for a patient is delayed until a doctor makes an admission decision. In this case study, we build a classifier to predict the disposition of patients using manually typed nurse notes collected during triage as provided by the Alberta Medical Center. These predictions can…